일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | |||
5 | 6 | 7 | 8 | 9 | 10 | 11 |
12 | 13 | 14 | 15 | 16 | 17 | 18 |
19 | 20 | 21 | 22 | 23 | 24 | 25 |
26 | 27 | 28 | 29 | 30 | 31 |
- CLOCK GATING
- makefile
- 딥러닝 가속기
- 남산업힐
- pygraphviz 설치 오류
- pytest-pythonpath 설치 오류
- linux c++ 컴파일
- pyverilog 설치 오류
- 이진수 곱셈 알고리즘
- DNN 가속기
- CDC
- 데이터 해저드
- linux makefile 작성
- 대구 반도체 설계기업 특화
- Pyverilog 실행
- Makefile compile
- linux c 컴파일
- Design DNN Accelerator
- Pyverilog 튜토리얼
- gpgpu-sim
- CUDA
- systolic array
- Data HAzard
- gcc 컴파일
- Pyverilog 설치
- Pyvrilog tutorial
- 컨벌루션 연산
- 클럭 게이팅
- DNN Accelerator
- AMBA
- Today
- Total
오늘은 맑음
NPU(Neural Processing Unit), AI Acclerator 관련 논문 정리 [1] algorithm 본문
[1] algorithm
Anwar, Sajid, Kyuyeon Hwang, and Wonyong Sung. "Fixed point optimization of deep convolutional neural networks for object recognition." 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015.
Gupta, Suyog, et al. "Deep learning with limited numerical precision." International Conference on Machine Learning. 2015.
Lin, Darryl, Sachin Talathi, and Sreekanth Annapureddy. "Fixed point quantization of deep convolutional networks." International conference on machine learning. 2016.
Lin, Zhouhan, et al. "Neural networks with few multiplications." arXiv preprint arXiv:1510.03009 (2015).
Courbariaux, Matthieu, Yoshua Bengio, and Jean-Pierre David. "Binaryconnect: Training deep neural networks with binary weights during propagations." Advances in neural information processing systems. 2015.
Hubara, Itay, et al. "Binarized neural networks: Training neural networks with weights and activations constrained to+ 1 or-1." arXiv preprint arXiv:1602.02830 (2016).
Iandola, Forrest N., et al. "SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 0.5 MB model size." arXiv preprint arXiv:1602.07360 (2016).
Chen, Wenlin, et al. "Compressing convolutional neural networks in the frequency domain." Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016.
Chen, Wenlin, et al. "Compressing neural networks with the hashing trick." International conference on machine learning. 2015.
Sindhwani, Vikas, Tara Sainath, and Sanjiv Kumar. "Structured transforms for small-footprint deep learning." Advances in Neural Information Processing Systems. 2015.
Cireşan, Dan C., et al. "High-performance neural networks for visual object classification." arXiv preprint arXiv:1102.0183 (2011).
Denil, Misha, et al. "Predicting parameters in deep learning." Advances in neural information processing systems. 2013.
Han, Song, Huizi Mao, and William J. Dally. "Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding." arXiv preprint arXiv:1510.00149 (2015).
Hinton, Geoffrey, Oriol Vinyals, and Jeff Dean. "Distilling the knowledge in a neural network." arXiv preprint arXiv:1503.02531 (2015).
'NPU' 카테고리의 다른 글
MIT eyeriss tutorial (0) | 2020.07.21 |
---|---|
NPU 환경 구축기(1) SRAM Read 테스트 (9) | 2020.07.21 |
NPU, AI Accelerator 관련 논문 정리 (추가논문) (0) | 2020.07.10 |
NPU(Neural Processing Unit), AI Acclerator 관련 논문 정리 [2] architecture (0) | 2020.07.10 |
FPGA와 ASIC을 통한 deep learning 연구 (0) | 2019.03.10 |